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Related Concept Videos

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A higher...
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

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An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
08:59

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Published on: December 3, 2020

Moving from basic toward systems pharmacodynamic models.

William J Jusko1

  • 1Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, New York 14214, USA. wjjusko@buffalo.edu

Journal of Pharmaceutical Sciences
|May 18, 2013
PubMed
Summary
This summary is machine-generated.

Pharmacokinetic-pharmacodynamic (PK/PD) models, built on drug action mechanisms, can be extended to complex physiological processes. These models integrate molecular to whole-body functions, offering advantages for systems biology approaches.

Keywords:
dose responseindirect response modelsmathematical modelpharmacodynamicspharmacokineticspharmacometricspreclinical pharmacokineticssystems pharmacology

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Area of Science:

  • Pharmacology and Systems Biology
  • Mechanistic Pharmacokinetic-Pharmacodynamic (PK/PD) Modeling

Background:

  • Classical pharmacology provides foundations for mechanistic PK/PD models.
  • These models are based on drug action mechanisms and physiological turnover processes.
  • Existing models can be adapted to incorporate complexities like drug tolerance.

Purpose of the Study:

  • To demonstrate the extension of basic PK/PD models into enhanced systems models.
  • To illustrate the integration of molecular to whole-body processes using corticosteroid models.
  • To discuss the benefits and challenges of advancing PK/PD modeling toward systems approaches.

Main Methods:

  • Development and application of mechanistic pharmacokinetic-pharmacodynamic (PK/PD) models.
  • Extension of basic PK/PD models to incorporate physiological complexities and tolerance.
  • Integration of models across different biological scales (molecular to whole-body).

Main Results:

  • Demonstrated the utility of PK/PD models as building blocks for enhanced systems models.
  • Corticosteroid models exemplified horizontal and vertical integration of biological processes.
  • Identified potential advantages and challenges in transitioning PK/PD to systems models.

Conclusions:

  • Mechanistic PK/PD models are versatile and extensible for complex biological systems.
  • Integration across biological scales is feasible and beneficial for comprehensive modeling.
  • Further development of PK/PD toward systems models holds significant promise for pharmacology.